Wayve

Wayve

Machine Learning Engineer, Application Software

Detroit, Michigan · Full-time

Sponsorship not specified$120k-$145kDetected 18 days ago
PythonC++Machine LearningDeep LearningPyTorchData EngineeringRoboticsLeadershipCollaborationAdaptability

Stay score

odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$89,8771 entry
Level II$108,9502 entries
Level III$128,0033 entries
Level IV$147,0774 entries

$8,003 more — $128,003 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $128,003 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Detroit-Warren-Dearborn, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Before the detail, here's the challenge you'd help us solve.
  • Every role here, whatever the team, plugs into that.
  • Here's what this particular role covers.

Responsibilities

  • Develop and improve end-to-end driving models, advancing their performance, robustness and generalisation.
  • Lead technical initiatives in personalised and collaborative driving, including behaviour conditioning, comfort tuning and alignment with user preferences.
  • Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and product readiness.
  • Collaborate across engineering teams to integrate models, accelerate iteration and support real-world deployment.
  • Mentor senior engineers, drive technical alignment and influence architecture, training and deployment decisions.
  • You have a strong foundation in software engineering practices and experience building reliable, maintainable ML systems.
  • You can lead technical initiatives across teams, build alignment and mentor engineers.
  • Deep-dive technical interviews System Design, ML (1 hour)

Compensation

  • $120k-$145k

Benefits

  • Curate and mine real-world and synthetic data to improve scenario diversity, coverage and feature-specific development.
  • You have an extensive, proven track record of shipping deep learning systems to production.
  • You bring deep expertise in deep learning, particularly sequential models, control, planning or perception.
  • Experience in autonomous driving, imitation learning or trajectory prediction.

Visa & Work Authorization

  • Relocation support and visa sponsorship where applicable

This listing is sourced directly from Wayve's careers page and normalized into a canonical job model.